Cargando…
Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review
Many biological and neural systems can be seen as networks of interacting periodic processes. Importantly, their functionality, i.e., whether these networks can perform their function or not, depends on the emerging collective dynamics of the network. Synchrony of oscillations is one of the most pro...
Autores principales: | Bick, Christian, Goodfellow, Marc, Laing, Carlo R., Martens, Erik A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253574/ https://www.ncbi.nlm.nih.gov/pubmed/32462281 http://dx.doi.org/10.1186/s13408-020-00086-9 |
Ejemplares similares
-
Managing heterogeneity in the study of neural oscillator dynamics
por: Laing, Carlo R, et al.
Publicado: (2012) -
Dynamics of oscillators globally coupled via two mean fields
por: Zhang, Xiyun, et al.
Publicado: (2017) -
Quantum simulation of exact electron dynamics can be more efficient than classical mean-field methods
por: Babbush, Ryan, et al.
Publicado: (2023) -
Exact level densities for the harmonic oscillator
por: Van Isacker, P
Publicado: (2002) -
Dynamics of Structured Networks of Winfree Oscillators
por: Laing, Carlo R., et al.
Publicado: (2021)